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markswendsen-code

@striderlabs/mcp-progressive

progressive_coverage_recommendations

Get personalized insurance coverage recommendations based on your profile, assets, and risk factors. Suggests coverage types, limits, and cost estimates.

Instructions

Get personalized insurance coverage recommendations from Progressive based on your profile, assets, and risk factors. Returns suggested coverage types, limits, and estimated cost impact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileNoCustomer profile for new recommendation without an existing policy.
coverage_typeNoCoverage type to get recommendations for. Defaults to 'all'.
policy_numberNoExisting policy number to base recommendations on current coverage.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears full burden. It mentions return types (suggested coverage, limits, cost impact) but lacks details on computational behavior (e.g., algorithm basis, authentication needs). Adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that is front-loaded with the key action and resource. Efficient, though could be slightly more structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately covers return values (coverage types, limits, cost impact). The tool's complexity is moderate, and sibling tools provide context. Sufficiently complete for this use case.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds minimal semantic context beyond the schema (e.g., 'based on your profile, assets, and risk factors'), but does not significantly enhance parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Get') and resource ('personalized insurance coverage recommendations'), and clearly differentiates from siblings like progressive_policy_lookup (policy lookup) and progressive_get_quote (quote for specific coverage).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description indicates when to use (based on profile, assets, risk factors) but does not explicitly state when not to use or name alternatives, though siblings provide context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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